We talk a lot about automation here at LNS Research, and this post is no different--except it goes a step further. Along with discussing removing manual data capture and analysis in quality and manufacturing software, this week's round-up examines removing another potential human driver of errors and inefficiencies--actual human drivers!
The brilliant team at Google has been busy manufacturing 100 experimental electric-powered vehicles that require no driver. There isn’t even a steering wheel. So, how does it technically work? All interaction takes place via a smartphone application. The car is summoned to the passenger’s location, processes the pick up, and then drives to the desired destination that was entered into the app. This New York Times article discusses the driverless car movement as well as Google’s plans for its prototypes, and the video below displays fleet testing for the average consumer. Taking the driver out of driving.
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Quality Management was built as a movement to ensure and adhere to standards and procedures. While this movement has since matured, it is important for other organizational movements such as Energy Management to learn from past progression. Energy Manager Today discusses five main lessons companies can adopt to begin energy management journeys and implementations. Jon Rabinowitz of Panoramic Power discusses how established processes, continual improvement, a factual approach, the five whys, and being lean can help in formulating your energy movement. Read more.
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A post on Hertzler Systems Inc.’s blog discusses how data challenges arise, how market leading companies are handling such obstacles, and what the future of data and quality management looks like with emerging trends such as Big Data and the Internet of Things (IoT). To address these areas, this discussion focuses on the following topics:
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The Difference between Data and Intelligence
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The Challenge of Increasing Data Sources
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The Role of Big Data and IoT in Intelligence Gathering
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Taking Your Quality Performance to the Next Level
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Industry buzzwords--we all know them. We see them or hear them daily, and it’s definitely no surprise that Big Data is one of them. But, with all this chatter around Big Data, what happens to small data? Research Analyst Paul Leavoy caught up with Dan Somers to discuss an innovative approach to root-cause analysis. During this recap, you'll also understand how Motorola implemented this analysis to correct a costly No Fault Found (NFF) return issue. Read more.
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